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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23665
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    Explanations

    phrases related to a rare event or instance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating rare or unique opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essen
    -0.63
     grades
    -0.59
    ORTS
    -0.56
     Dickinson
    -0.55
    KK
    -0.55
    udeb
    -0.55
    blance
    -0.55
    UFF
    -0.54
     salaries
    -0.54
     Sawyer
    -0.53
    POSITIVE LOGITS
     awhile
    1.22
    ividual
    0.76
    orld
    0.75
    chance
    0.73
    thinkable
    0.72
    avior
    0.72
    thood
    0.70
     lifetime
    0.68
    hearted
    0.66
    isner
    0.66
    Activations Density 0.049%

    No Known Activations